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KAN: Why and How Does It Work? A Deep Dive
KAN: Why and How Does It Work? A Deep Dive
Can we discover new physics with KAN?
Saptashwa Bhattacharyya
May 9
Your First Year as a Data Scientist: A Survival Guide
Your First Year as a Data Scientist: A Survival Guide
5 tips I would’ve hugely benefitted from as a beginner
Haden P
May 9
Latest
A Beginner-Friendly Introduction to LLMs
A Beginner-Friendly Introduction to LLMs
A first step to Large Language Models
Chayma Zatout
May 9
Time Series Forecasting: A Practical Guide to Exploratory Data Analysis
Time Series Forecasting: A Practical Guide to Exploratory Data Analysis
How to use Exploratory Data Analysis to drive information from time series data and enhance feature engineering using Python
Maicol Nicolini
May 9
How to Transition from Physics to Data Science: A Comprehensive Guide
How to Transition from Physics to Data Science: A Comprehensive Guide
Advice from a Physics Master’s Graduate turned Data Scientist
Sara Nóbrega
May 9
Are Data Scientists Fortune Tellers?
Are Data Scientists Fortune Tellers?
Should we aim to be one?
Zijing Zhu, PhD
May 9
Phi-3 and the Beginning of Highly Performant iPhone Models
Phi-3 and the Beginning of Highly Performant iPhone Models
This blog post will go into the findings of the Phi-3 paper, as well as some of the implications of models like Phi-3 being released
Matthew Gunton
May 9
Feature Selection with Optuna
Feature Selection with Optuna
A versatile and promising approach for the feature selection task
Nicolas Lupi
May 9
How to Stand Out as a Data Scientist in 2024
How to Stand Out as a Data Scientist in 2024
Our weekly selection of must-read Editors’ Picks and original features
TDS Editors
May 9
SQL Explained: Grouping Sets, Rollup, and Cube
SQL Explained: Grouping Sets, Rollup, and Cube
What are they and how do you use them?
Thomas Reid
May 8
A Visual Understanding of Logistic Regression
A Visual Understanding of Logistic Regression
An intuitive visual explanation of the math behind logistic regression
Reza Bagheri
May 8
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